Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rian Anggraeni"'
Publikováno v:
Forum Geografi, Vol 33, Iss 2, Pp 173-183 (2020)
Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted f
Externí odkaz:
https://doaj.org/article/939eee555fc84e56b3b83596daa0cac0
Autor:
Ratna Satyaningsih, Victor Jetten, Janneke Ettema, Ardhasena Sopaheluwakan, Danang Eko Nuryanto, Yakob Umer, Tri Astuti Nuraini, Rian Anggraeni
Landslide occurrences are governed by precondition factors and triggering factors. Hence, it is desirable to include physical parameters representing precondition factors in determining thresholds over which landslides are likely to occur. In the cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34072387482dc883e6c150701aef23ea
https://doi.org/10.5194/egusphere-egu22-12227
https://doi.org/10.5194/egusphere-egu22-12227
Autor:
Ardhasena Sopaheluwakan, Radyan Putra Pradana, Danang Eko Nuryanto, Yuaning Fajariana, Imelda Ummiyatul Badri, Rian Anggraeni
Publikováno v:
Agromet. 34:55-65
This study revealed the behavior of heavy rainfall before landslide event based on the Weather Research Forecasting (WRF) model. Simulations were carried out to capture the heavy rainfall patterns on 27 November 2018 in Kulonprogo, Yogyakarta. The mo
Publikováno v:
Forum Geografi, Vol 33, Iss 2, Pp 173-183 (2020)
Nyepi or the Balinese Day of Silence (DOS) is a day when people celebrate every New Year according to the Balinese calendar (Saka). On that day, all resident activities were very restricted, with no outdoor activities. This event, which only lasted f
Autor:
M S Yuliyanti, Tri Astuti Nuraini, A. (Ardhasena) Sopaheluwakan, Rian Anggraeni, R. (Ratna) Satyaningsih, Yuaning Fajariana, Danang Eko Nuryanto
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 893:012025
Rainfall intensity thresholds only do not take advantage of the awareness of the slope's hydrological processes, so they appear to produce large false and missed alert rates, decreasing the credibility of early warning systems for landslides. This st
Autor:
Kurnia Endah Komalasari, N F Riama, Eko Heriyanto, Tri Astuti Nuraini, Utoyo Ajie Linarka, Ferdika Amsal Harapan, Donaldi Sukma Permana, Kharisma Aprilina, Jaka Anugrah Ivanda Paski, Urip Haryoko, Yuaning Fajariana, Rian Anggraeni, Danang Eko Nuryanto, I U Badriah, M S Yuliyanti, Ratna Satyaningsih, N. T. Rahmadani, Jose Rizal
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 874:012009
Autor:
Danang Eko Nuryanto, Kurnia Endah Komalasari, Ratna Satyaningsih, Tri Astuti Nuraini, Rian Anggraeni, Yuaning Fajariana, Ardhasena Sopaheluwakan
Publikováno v:
Jurnal Meteorologi dan Geofisika. 20:101
Informasi iklim mempunyai nilai strategis dan penting dalam banyak aspek pembangunan berkelanjutan dan mendukung ketahanan pangan nasional. Layanan informasi iklim yang sudah ada diantaranya adalah analisa dan prediksi iklim bulanan. Saat ini telah b
Autor:
Danang Eko Nuryanto, Rian Anggraeni
Publikováno v:
Jurnal Meteorologi dan Geofisika. 18
Karakteristik anomali suhu muka laut di Laut Jawa diidentifikasi dengan mengaplikasikan Principal Component Analysis (PCA), data anomali suhu muka laut rata-rata bulanan dari Optimum Interpolation Sea Surface Temperature versi 2 (OISSTv2). Diperoleh
Publikováno v:
Jurnal Meteorologi dan Geofisika, Vol 17, Iss 1 (2016)
Tingginya variasi curah hujan di Indonesia mengakibatkan sulit untuk menentukan model prakiraan iklim yang memiliki validitas dan reliabilitas terbaik. Penelitian ini dilakukan untuk mendapatkan model prakiraan iklim dengan akurasi yang lebih baik de
Publikováno v:
Jurnal Meteorologi dan Geofisika, Vol 11, Iss 1 (2014)
Pada penelitian ini dilakukan perbandingan luaran model prakiraan cuaca CCAM terhadap luaran model prakiraan cuaca ARPEGE dan TLAPS untuk mengetahui performa dari model prakiraan cuaca CCAM di wilayah Indonesia. Data model global Global Forecasting S